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AI Impact Compass

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Created on May 25, 2026

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Transcript

AI Impact Compass

Use this interactive compass to track lightweight metrics that show where AI is helping your L&D workflow.

Time

Confidence

Rework

Does the team feel capable?

Are revisions decreasing?

Where are we faster?

Consistency

Quality

Are standards showing up?

Are outputs stronger?

Rework

  • Track review rounds, revision time, and repeat feedback themes.
  • Watch for hidden issues in polished AI drafts.
  • Goal: Fewer fixes after the first pass.

Confidence

  • Ask whether the team knows when and how to use AI responsibly.
  • Check comfort with guardrails, data safety, and human review.
  • Adoption improves when people feel capable, not pressured.

Time

  • Track where AI reduces the workflow.
  • Examples: First drafts, scenarios, job aids, and feedback summaries.
  • Compare before/after estimates, even if they are lightweight.

Consistency

  • Look for shared templates, terminology, and structure.
  • Use your knowledge vault, prompt patterns, and QA scan.
  • Goal: Outputs feel aligned across the team.

Quality

  • Check whether outputs are better, the same, or worse.
  • Use SME comments, QA checks, accuracy, alignment, and accessibility.
  • Speed only counts if quality stays strong.